|Publication number||US7660400 B2|
|Application number||US 10/742,466|
|Publication date||Feb 9, 2010|
|Filing date||Dec 19, 2003|
|Priority date||Dec 19, 2003|
|Also published as||CA2490430A1, CA2490430C, EP1545105A1, US8175230, US8462917, US8718242, US20050135571, US20100098224, US20120221331, US20130275132|
|Publication number||10742466, 742466, US 7660400 B2, US 7660400B2, US-B2-7660400, US7660400 B2, US7660400B2|
|Inventors||Srinivas Bangalore, Junlan Feng, Mazin G. Rahim|
|Original Assignee||At&T Intellectual Property Ii, L.P.|
|Export Citation||BiBTeX, EndNote, RefMan|
|Patent Citations (49), Non-Patent Citations (8), Referenced by (20), Classifications (25), Legal Events (8)|
|External Links: USPTO, USPTO Assignment, Espacenet|
The present application is related to Ser. Nos. 10/740,156 and 10/740,186 , both filed on Dec. 18, 2003, and both claiming priority to Provisional Patent Application No. 60/434,257 filed Dec. 18, 2002.
1. Field of the Invention
The present invention relates to spoken dialog systems and more specifically to a system and method of dynamically building conversational systems for interfacing with databases.
As the world-wide web (WWW) evolves, user interaction with the computer to provide and receive information continues to improve and become more efficient. Search engines allow users to provide a few keywords and receive listings of relevant webpages containing content. The size and number of databases available for searching continually increases, thus increasing the complexity of the process of getting desired content to users.
One way in which the WWW provides for a user to interface with a database or set of databases is through forms. Forms are used to provide a user a customized response based on the content of the database and the user's input. The WWW enables an unlimited number of ways to present and govern the user's interaction. Many are investing resources in electronic customer relationship management (e-CRM) to intelligently analyze and improve the user's experience.
However, with the ever increasing demand for e-CRM and e-care, the number of forms on the web has begun to increase dramatically. User-related information, such as name, address, zip code email address, credit card information, data related to personal interests and other types of information or various combinations of data are often required to learn about the user and engage in a dialog. In many scenarios, a user that desires information, such as flight reservations or location direction to an address or entity such as store or building, needs to input information into a form containing input fields in order to access the database containing the information and to receive a response.
In many cases, as an access client like Microsoft's Internet Explorer receives the form-filled information and transmits the information to a web-server, the responsive webpage is a dynamically generated webpage that incorporates the user's input information. In other words, the webpage that is delivered to the client is not a static webpage that contains previously generated content. Dynamically generated webpages often arise when web applications dynamically generates a page that contains information specific to the user's request. Therefore, a webpage delivered in response to a user's providing information in a form related to a travel reservation, or a personal account, etc., is delivered via a dynamically generated webpage. Dynamically-generated webpages are difficult to deal with since they not indexed by search engines and are generated on the fly.
With the increase in the trend of e-CRM and web-enabled access to databases, especially proprietary databases, there is an increasing number of webpages with form interfaces that return dynamically generated pages. Accompanying this increase in e-CRM is a focus on voice-enabled interfaces for various services. One area where voice-enabled services are utilized is in customer services for companies. For example, AT&T's VoiceToneSM service provides a natural, conversational speech interface that listens and responds like a live agent. Callers can simply make a request, ask a question, or even utter a few words and thus avoid time-consuming menus, structured speech and touch-tone prompts. AT&T VoiceToneSM's intelligent intent determination can quickly and accurately understand what callers are trying to accomplish and respond to their precise needs.
One method of interacting via voice with the WWW is via VoiceXML (or VXML). This programming language enables a webpage to be programmed with various voice interactions with a user. There are deficiencies in using VoiceXML, however. The dialog is scripted and must follow the programmed flow. Questions or issues that a user may have outside of the program flow will not be addressed. Further, if a website is updated with new or different information, the VoiceXML code needs to be reprogrammed to accommodate such changes.
There is a need in the art for a system and method that utilizes the benefits and efficiency of voice-enabled interaction to improve a user's interaction with the Internet and various types of databases. There is also a lack of ability to interact with the Internet in the process of filling out a form using a voice-enabled service.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The features and advantages of the invention may be realized and obtained by means of the instruments and combinations particularly pointed out in the appended claims. These and other features of the present invention will become more fully apparent from the following description and appended claims, or may be learned by the practice of the invention as set forth herein.
One embodiment of the invention comprises a method of providing information to a user utilizing a natural language dialog. The method comprises receiving spoken information from a user, converting the received spoken information to text, automatically filling in a web-based form using the text converted from speech, receiving a dynamically-generated webpage generated according to the filled webpage form and communicating to the user, via synthetic speech, content from the dynamically-generated webpage.
An exemplary type of information that may be provided relates to location. For example, the user may be engaging in a natural voice dialog with a computer service such as AT&T's VoiceToneSM, and the conversation comes to a point where the user desires location information. In this case, the invention can provide means for receiving information from the user and then using a form-based webpage to obtain location-based information. This information is then processed and presented to the user via synthetic speech in the natural language conversation. However, as can be appreciated, the location example is merely an exemplary method that illustrates the basic principle of the invention. The invention is not limited to any specific type of information that is provided to a user via the dialog.
In order to describe the manner in which the above-recited and other advantages and features of the invention can be obtained, a more particular description of the invention briefly described above will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings. Understanding that these drawings depict only typical embodiments of the invention and are not therefore to be considered to be limiting of its scope, the invention will be described and explained with additional specificity and detail through the use of the accompanying drawings in which:
The present invention provides a solution to enable interaction between a telephone or other voice communication device with the world wide web (WWW). The communication is between a live user and a computer system having the necessary technology to perform automatic speech recognition, perform dialog management, and generate synthetic responses to the user. Such systems can approach a realistic conversation as though it was between two people. One example of such a system is AT&T's VoiceToneSM service. The basic components of these voice-enabled services are generally known and therefore the technical details will not be provided here other than introductory information.
The VoiceToneSM service provides an improved way to communicate with people using a voice-based contact or audible dialog with a virtual agent. Such voice-based interactions with customers of a business, for example, can improve the customer relationship with that business in that the experience is much more enjoyable then pressing numbers on a telephone to navigate through a menu system. In the menu systems, users must “press 1 for sales” or “press 2 for technical assistance” and so on. The VoiceToneSM system enables a virtual agent to ask the user “How may I help you?”. Using automatic speech recognition and dialog management, the VoiceToneSM system can understand and provide the desired information or assistance to the user.
The dynamically generated prompts and input tags for a webpage having input fields for an address, phone number and email address will relate to modifying the dialog with the user 112 to insure that the prompts to the user (such as “Please give me your address and phone number” and “Please give me your email address”) will be provided and the response from the user will be identified and tagged. Named entity approaches for identifying information such as an address in speech or a phone number are known. Any approach may be used to identify the information within a user response that should be associated with the various input fields on a webpage.
The analysis of the webpage performed by the form parser allows for further analysis of the webpage. Many forms include required information and non-required information. An example is that to complete a form the webpage may require the user to input his name, address, phone number and an email address. These fields on the webpage are often marked with an asterisk “*” or other means such as color. The form parser 106 can identify the necessary fields by analysis of the text or colors of the webpage or other means to identify the necessary input fields. For example, if the user gives a name, address, phone number, but no email address, the dialog manager may prompt the user as follows: “Thank you for that information, we also need your email address to provide you with your directions. What is your email address?”.
An advantage over VXML of this dialog interchange and ability to fill in form information via the dialog includes the ability to receive a phrase of information and fill in the various input field of a form without requiring individual questions for each field. For example, using the off-line and dynamic parsing ability of this invention, the dialog could accept a statement from the user such as “I want to fly from Boston to Washington on Jan. 5 2004 before noon.” The present invention enables the system to complete all of the necessary input fields and then continue to request information only for other required field, if necessary.
Many companies or entities have websites where users can provide information or interact with the site. For example, a well-known site Mapquest®, having an example webpage 200 shown in
On Mapquest®, to get driving directions, a user would click on the driving directions button 214. Other buttons include a maps button 212 and a road trip planner 216.
In another aspect of the invention, other information on the webpage is extracted and incorporated into the dialog. For example, VoiceToneSM may ask the user “would you like the fastest route, the shortest route or to avoid highways?” This would be in response to the tabbed options in
Therefore, the invention comprises a system and method of providing the interface between a voice-enabled virtual agent and existing websites that receive information requests via input fields and provide information. The website may be restructured or designed such that the information that they provide is easier to extract for the purpose of the voice-interaction with website. This restructuring or design could focus on providing more description of input fields. For example, instead of “to:” to identify an address input field for a destination, the website would label the field “destination address.” In this manner, the form parser 106 will more accurately and efficiently identify webpage content and input fields as it performs its process.
There are an unlimited number of kinds of websites to which the present invention may apply: airlines reservations, retail stores, auctions, and so on. In another example, often users desire to find the nearest store to their location. Using a phone, the user can engage in a natural language dialog with an application such as VoiceToneSM and provide the store name and zip code. In this regard, this aspect of the invention may differ from the form-filling application. With a store name and zip code, the process according to the present invention may be able to search the WWW and extract a store address from a store home webpage and present via TTS the response to the user.
The present invention enables voice interaction with dynamically-generated webpages. For example, the webpages discussed above that include content specific to the user request are generated on-the-fly to provide the necessary information for that specific user. An aspect of the present invention enables dynamic extraction of that information, and use of the extracted information within a voice-dialog.
Another example of a voice dialog according to an aspect of the present invention is as follows. This relates to the invention in use with a customer relations department of a company where the user is trying to return a product:
Computer: Thank you for calling, this is Julie, I am an automated attendant.
How can I help you?
User: I ordered a pair of shoes two weeks ago, I need to return them.
Computer: OK. I can help you process your return in one of two ways. You can return the merchandize to the customer service desk at the nearest retail store or you can mail the items back to the distribution center that shipped it to you. The address for the distribution center is on the back of the invoice. Would you like me to find the address of the closest store or distribution center?
Computer: May I have your home zip code?
Computer: Was that 53018?
Computer: Which shall I look up, a distribution center or a store?
User: I'd like the closest store
Computer: I can get that information for you. The closest store to you is at the Brookfield Square Mall, located on the corner of Brookfield Road and Marland Road in Brookfield. Would you like the phone number for that store?
User: No I can get it
Computer: Is there anything else I can do for you today?
Computer: Very well, have a nice day.
The above exchange between a user and a VoiceToneSM service or the like involves receiving the user's zip code, utilizing that information to obtain the location of the nearest store to that zip code from a webserver, extracting the address for the store from the received information from the webserver, and incorporating that information into the spoken dialog in the TTS response to the user. The response may also provide the nearest two, three or more locations to the user. The above example illustrates the customer relations management benefits of the present invention. Preferably, this invention is applicable to the context of a standard webpage that is not written using VoiceXML.
In a standard interaction with a webpage, if the user fills in only a portion of the necessary information, a dynamic webpage is presented to the user, often identifying the input field via color or some other means to highlight what further information is needed. An aspect of the present invention comprises providing the input information received from the user into the form. When the response from the webpage indicates that further information in another input field is needed, that field is identified and a prompt is generated to retrieve from the user the remaining information to complete the form. In this regard, part of the form parsing 106 may occur off-line prior to a dialog with the user, and part of the parsing may occur dynamically while the user is interacting via a spoken dialog with the service.
The form parser will analyze either off-line or dynamically each of the webpages illustrates in 2A, 2B and 2C to generate the appropriate prompts and input tags to receive via a voice dialog the information. As an example, after receiving via the voice dialog the “from” and “to” addresses, the service will receive the directions webpage shown in
The form parser may also utilize prior history from the voice dialog. For example, assume the user originally stated “I need directions from the White House to Union Station and then I need a hotel”. In this regard, the form parser 106 can utilize information contained in previous interactions with the user to intelligently parse the webpage information to determine what to incorporate into the dialog and what not to incorporate into the dialog. Then, when the webpage shown in
In one aspect of the invention, the process returns to step (302) if another webpage is dynamically presented to the user for further parsing. Inasmuch as the user dialog and interaction with the WWW is dynamic, not all of these steps need to be performed for each interaction with the user.
One of the benefits of the present invention is that it can provide for a more open interaction with the user. Using VoiceXML, the user typically is asked a question each time for information related to an input field: “Please give me your street number”; “Please give me the city”; “Please give me your zip code” and so on. The present invention enables the user to provide a single utterance from which all the information is extracted for use in the website. Then, named entity extraction or some other means is used to identify the entities to extract from the speech. For example, the destination city, time of departure, originating city, etc.
In another aspect of the invention, the parser 106 may be modified to parse a website for more information than just input field content. Many websites may include text that identifies their address, their phone number, and email or other contact information. In this regard, if the user provides the following request “I need the nearest WalMart to my zip code, which is 12345.” The parser 106 may traverse the Walmart website to extract information such as headquarters address, and local store addresses and zip codes. All the extracted information from the website can be parsed and identified to enable the user to get information. A series of company webpages may be off-line parsed to identify company store location addresses and zip codes. This extracted information can be stored in a database 126. From the database information, the response to the user's request can be identified and presented to the user. In this way, the user can receive the answer to his question: the closest Walmart to the zip code 12345 via the spoken dialog. Thus, the information used to generate a response to a user inquiry can come from extracting information from webpage content off-line or extracting information in dynamically generated webpages after a form filling step.
As can be appreciated, while the above examples are location-based, any kind of interaction or any type of information that is sought may be utilized. Other examples include bank account access, on-line shopping, auctions, on-line travel reservations, etc. The principles of the present invention can apply to any type of WWW interaction and to any combination of interactions. For example, if an off-line parsing of a company website produces a company store address and zip code that is provided to a user in a zip code comparison search, the user at that point may desire directions. At this stage in the interaction, the service can then utilize a website such as Mapquest® to use current information (store address as the destination address) and retrieve other information (the user's address within the previously provided zip code area) via the spoken dialog to move from the stage of providing the information of the nearest store to the stage of providing directions to the store from the user's current location.
Embodiments within the scope of the present invention may also include computer-readable media for carrying or having computer-executable instructions or data structures stored thereon. Such computer-readable media can be any available media that can be accessed by a general purpose or special purpose computer. By way of example, and not limitation, such computer-readable media can comprise RAM, ROM, EEPROM, CD-ROM or other optical disk storage, magnetic disk storage or other magnetic storage devices, or any other medium which can be used to carry or store desired program code means in the form of computer-executable instructions or data structures. When information is transferred or provided over a network or another communications connection (either hardwired, wireless, or combination thereof) to a computer, the computer properly views the connection as a computer-readable medium. Thus, any such connection is properly termed a computer-readable medium. Combinations of the above should also be included within the scope of the computer-readable media.
Computer-executable instructions include, for example, instructions and data which cause a general purpose computer, special purpose computer, or special purpose processing device to perform a certain function or group of functions. Computer-executable instructions also include program modules that are executed by computers in stand-alone or network environments. Generally, program modules include routines, programs, objects, components, and data structures, etc. that perform particular tasks or implement particular abstract data types. Computer-executable instructions, associated data structures, and program modules represent examples of the program code means for executing steps of the methods disclosed herein. The particular sequence of such executable instructions or associated data structures represents examples of corresponding acts for implementing the functions described in such steps.
Those of skill in the art will appreciate that other embodiments of the invention may be practiced in network computing environments with many types of computer system configurations, including personal computers, hand-held devices, multi-processor systems, microprocessor-based or programmable consumer electronics, network PCs, minicomputers, mainframe computers, and the like. Embodiments may also be practiced in distributed computing environments where tasks are performed by local and remote processing devices that are linked (either by hardwired links, wireless links, or by a combination thereof) through a communications network. In a distributed computing environment, program modules may be located in both local and remote memory storage devices.
Although the above description may contain specific details, they should not be construed as limiting the claims in any way. Other configurations of the described embodiments of the invention are part of the scope of this invention. For example, the “service” described above may comprise a variety of structures or combination of structures or servers that perform the processes described to engage the user in an intelligent conversation utilizing web content. It is immaterial to the present invention regarding the location on a network where software modules may be processed. Accordingly, the appended claims and their legal equivalents should only define the invention, rather than any specific examples given.
|Cited Patent||Filing date||Publication date||Applicant||Title|
|US5915001 *||Nov 14, 1996||Jun 22, 1999||Vois Corporation||System and method for providing and using universally accessible voice and speech data files|
|US6311182 *||Nov 17, 1997||Oct 30, 2001||Genuity Inc.||Voice activated web browser|
|US6401094 *||May 27, 1999||Jun 4, 2002||Ma'at||System and method for presenting information in accordance with user preference|
|US6466654||Mar 6, 2000||Oct 15, 2002||Avaya Technology Corp.||Personal virtual assistant with semantic tagging|
|US6539080||Jul 14, 1998||Mar 25, 2003||Ameritech Corporation||Method and system for providing quick directions|
|US6567745||Jun 28, 2002||May 20, 2003||Motorola, Inc.||System and method for distributed navigation service|
|US6570974||Dec 31, 1998||May 27, 2003||At&T Corp.||Cable connected network server platform for telephone white-yellow page services and emergency 911 location identification|
|US6587786||Aug 20, 1993||Jul 1, 2003||Audio Navigation Systems, Inc.||Sensor free vehicle navigation system utilizing a voice input/output interface for routing a driver from his source point to his destination point|
|US6587822||Oct 6, 1998||Jul 1, 2003||Lucent Technologies Inc.||Web-based platform for interactive voice response (IVR)|
|US6604075||Mar 14, 2000||Aug 5, 2003||Lucent Technologies Inc.||Web-based voice dialog interface|
|US6604090||Feb 3, 1998||Aug 5, 2003||Nativeminds, Inc.||System and method for selecting responses to user input in an automated interface program|
|US6615177||Apr 11, 2000||Sep 2, 2003||Sony International (Europe) Gmbh||Merging of speech interfaces from concurrent use of devices and applications|
|US6624803||Mar 16, 2000||Sep 23, 2003||Wisconsin Alumni Research Foundation||Interface for electronic devices providing improved access for people with disabilities|
|US6633846||Nov 12, 1999||Oct 14, 2003||Phoenix Solutions, Inc.||Distributed realtime speech recognition system|
|US6807529 *||Feb 27, 2002||Oct 19, 2004||Motorola, Inc.||System and method for concurrent multimodal communication|
|US6832196 *||Mar 30, 2001||Dec 14, 2004||International Business Machines Corporation||Speech driven data selection in a voice-enabled program|
|US6895084 *||Sep 14, 2001||May 17, 2005||Microstrategy, Inc.||System and method for generating voice pages with included audio files for use in a voice page delivery system|
|US6925288 *||Mar 29, 2001||Aug 2, 2005||Hewlett-Packard Development Company, L.P.||Gathering information from short-range wireless portals|
|US6983307 *||Jul 1, 2002||Jan 3, 2006||Kirusa, Inc.||Synchronization among plural browsers|
|US6996609 *||Apr 28, 1997||Feb 7, 2006||G&H Nevada Tek||Method and apparatus for accessing a wide area network|
|US7143042 *||Oct 4, 1999||Nov 28, 2006||Nuance Communications||Tool for graphically defining dialog flows and for establishing operational links between speech applications and hypermedia content in an interactive voice response environment|
|US7146323 *||Nov 15, 2001||Dec 5, 2006||International Business Machines Corporation||Method and system for gathering information by voice input|
|US7177862 *||Mar 28, 2002||Feb 13, 2007||International Business Machines Corporation||Method and structure for federated web service discovery search over multiple registries with result aggregation|
|US7222074 *||Jun 20, 2001||May 22, 2007||Guojun Zhou||Psycho-physical state sensitive voice dialogue system|
|US7275086 *||Aug 5, 1999||Sep 25, 2007||Intellisync Corporation||System and method for embedding a context-sensitive web portal in a computer application|
|US7295664 *||Sep 25, 2003||Nov 13, 2007||Verizon Data Services Inc.||Automated telephone attendant|
|US7366766 *||Mar 23, 2001||Apr 29, 2008||Eliza Corporation||Web-based speech recognition with scripting and semantic objects|
|US7373300 *||Dec 18, 2003||May 13, 2008||At&T Corp.||System and method of providing a spoken dialog interface to a website|
|US7437357 *||Aug 12, 2005||Oct 14, 2008||Microsoft Corporation||Method and system for providing service listings in electronic yellow pages|
|US7487440 *||Dec 4, 2001||Feb 3, 2009||International Business Machines Corporation||Reusable voiceXML dialog components, subdialogs and beans|
|US20010056479||May 21, 2001||Dec 27, 2001||Naoyuki Miyayama||Voice searching system of internet information to be used for cellular phone|
|US20020128821 *||Mar 11, 2002||Sep 12, 2002||Farzad Ehsani||Phrase-based dialogue modeling with particular application to creating recognition grammars for voice-controlled user interfaces|
|US20020161647 *||Apr 26, 2002||Oct 31, 2002||Gailey Michael L.||Tracking purchases in a location-based services system|
|US20020164000 *||Dec 1, 1998||Nov 7, 2002||Michael H. Cohen||System for and method of creating and browsing a voice web|
|US20030012344 *||Jul 10, 2001||Jan 16, 2003||Rita Agarwal||System and a method for emergency services|
|US20030035519 *||Aug 14, 2002||Feb 20, 2003||Warmus James L.||Methods and apparatus for accessing web content from a wireless telephone|
|US20030078779||Jul 3, 2002||Apr 24, 2003||Adesh Desai||Interactive voice response system|
|US20030078987 *||Feb 27, 2002||Apr 24, 2003||Oleg Serebrennikov||Navigating network communications resources based on telephone-number metadata|
|US20030093428 *||Apr 3, 2002||May 15, 2003||Shingo Suzumori||Interactive browsing system|
|US20040128136 *||Sep 22, 2003||Jul 1, 2004||Irani Pourang Polad||Internet voice browser|
|US20040205614 *||Aug 9, 2001||Oct 14, 2004||Voxera Corporation||System and method for dynamically translating HTML to VoiceXML intelligently|
|US20050135571 *||Dec 19, 2003||Jun 23, 2005||At&T Corp.||Method and apparatus for automatically building conversational systems|
|US20050182770 *||Nov 26, 2004||Aug 18, 2005||Rasmussen Lars E.||Assigning geographic location identifiers to web pages|
|US20070226198 *||May 30, 2007||Sep 27, 2007||Shyam Kapur||Systems and methods for search query processing using trend analysis|
|US20080270224 *||Jul 2, 2008||Oct 30, 2008||Accenture Llp||Location-based services system|
|EP0878948A2||Mar 27, 1998||Nov 18, 1998||AT&T Corp.||Method and apparatus for voice interaction over a network using parameterized interaction definitions|
|EP1041801A2||Mar 22, 2000||Oct 4, 2000||Lucent Technologies Inc.||Method of providing transfer capability on Web-based interactive voice response services|
|EP1246086A2||Mar 28, 2002||Oct 2, 2002||Comverse Ltd||Automated database assistance via telephone|
|WO2001029742A2||Oct 19, 2000||Apr 26, 2001||Tellme Networks, Inc.||Method and apparatus for electronic commerce using a telephone interface|
|1||Anonymous: "AT&T VoiceTone. A new high-touch automation solution to delight customers and dramatically cut transaction costs", AT&T, ′Online! 2003 XP002322136 USA, two pages.|
|2||Anonymous: "AT&T VoiceTone. A new high-touch automation solution to delight customers and dramatically cut transaction costs", AT&T, 'Online! 2003 XP002322136 USA, two pages.|
|3||Anonymous: << AT&T breakthrough speech technology designed to increase sales land customer service productivity >>, AT&T News Release, ′Online!, Sep. 30, 2003, pp. 1-2—XP00232137.|
|4||Anonymous: << AT&T breakthrough speech technology designed to increase sales land customer service productivity >>, AT&T News Release, 'Online!, Sep. 30, 2003, pp. 1-2-XP00232137.|
|5||Case Study: Customer Service "Employees" Who Never Need a Break, Dec. 4, 2001.|
|6||Feng et al. "Webtalk: Mining websites for automatically building dialog systems" IEEE Automatic Speech Recognition and Understanding, Nov. 30-Dec. 3, 2003, pp. 168-173.|
|7||Smart Bots: Solutions for the Networked Economy, White Paper, 2001.|
|8||VoiceObjects White Paper, Jul. 2003.|
|Citing Patent||Filing date||Publication date||Applicant||Title|
|US8060371||May 9, 2007||Nov 15, 2011||Nextel Communications Inc.||System and method for voice interaction with non-voice enabled web pages|
|US8175230 *||Dec 22, 2009||May 8, 2012||At&T Intellectual Property Ii, L.P.||Method and apparatus for automatically building conversational systems|
|US8301448 *||Mar 29, 2006||Oct 30, 2012||Nuance Communications, Inc.||System and method for applying dynamic contextual grammars and language models to improve automatic speech recognition accuracy|
|US8462917 *||May 7, 2012||Jun 11, 2013||At&T Intellectual Property Ii, L.P.||Method and apparatus for automatically building conversational systems|
|US8487964||Aug 8, 2011||Jul 16, 2013||Apple Inc.||Method and apparatus for image acquisition, organization, manipulation, and publication|
|US8543404 *||Apr 7, 2008||Sep 24, 2013||Nuance Communications, Inc.||Proactive completion of input fields for automated voice enablement of a web page|
|US8718242 *||Jun 11, 2013||May 6, 2014||At&T Intellectual Property Ii, L.P.||Method and apparatus for automatically building conversational systems|
|US8831950||Apr 7, 2008||Sep 9, 2014||Nuance Communications, Inc.||Automated voice enablement of a web page|
|US9002710||Sep 12, 2012||Apr 7, 2015||Nuance Communications, Inc.||System and method for applying dynamic contextual grammars and language models to improve automatic speech recognition accuracy|
|US9047869||Apr 7, 2008||Jun 2, 2015||Nuance Communications, Inc.||Free form input field support for automated voice enablement of a web page|
|US9257115||Feb 6, 2013||Feb 9, 2016||Facebook, Inc.||Device for extracting information from a dialog|
|US9514130||Dec 30, 2015||Dec 6, 2016||Facebook, Inc.||Device for extracting information from a dialog|
|US9530415 *||Oct 30, 2015||Dec 27, 2016||At&T Intellectual Property I, L.P.||System and method of providing speech processing in user interface|
|US20070233488 *||Mar 29, 2006||Oct 4, 2007||Dictaphone Corporation||System and method for applying dynamic contextual grammars and language models to improve automatic speech recognition accuracy|
|US20090254346 *||Apr 7, 2008||Oct 8, 2009||International Business Machines Corporation||Automated voice enablement of a web page|
|US20090254347 *||Apr 7, 2008||Oct 8, 2009||International Business Machines Corporation||Proactive completion of input fields for automated voice enablement of a web page|
|US20090254348 *||Apr 7, 2008||Oct 8, 2009||International Business Machines Corporation||Free form input field support for automated voice enablement of a web page|
|US20100098224 *||Dec 22, 2009||Apr 22, 2010||At&T Corp.||Method and Apparatus for Automatically Building Conversational Systems|
|US20120221331 *||May 7, 2012||Aug 30, 2012||At&T Intellectual Property Ii, L.P.||Method and Apparatus for Automatically Building Conversational Systems|
|US20160049151 *||Oct 30, 2015||Feb 18, 2016||At&T Intellectual Property I, L.P.||System and method of providing speech processing in user interface|
|U.S. Classification||379/88.17, 704/270.1, 705/7.13, 379/218.01, 704/260, 704/275, 705/7.29|
|International Classification||H04M1/64, H04M3/493, H04M7/00|
|Cooperative Classification||H04M7/0036, H04M7/0009, H04L12/6418, G06Q10/06311, H04M2203/355, G06Q30/0201, H04M2201/60, G06Q30/0635, H04M2201/40, H04M3/4938, G06F17/243|
|European Classification||G06Q10/06311, G06Q30/0201, G06Q30/0635, H04M3/493W|
|Dec 17, 2009||AS||Assignment|
Owner name: AT&T CORP.,NEW YORK
Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:BANGALORE, SRINIVAS;FENG, JUNLAN;RAHIM, MAZIN;SIGNING DATES FROM 20031211 TO 20031215;REEL/FRAME:023669/0136
|Mar 18, 2013||FPAY||Fee payment|
Year of fee payment: 4
|Dec 11, 2014||AS||Assignment|
Owner name: AT&T PROPERTIES, LLC, NEVADA
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|Dec 16, 2014||AS||Assignment|
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|Jun 23, 2015||AS||Assignment|
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|Nov 17, 2015||AS||Assignment|
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